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Construindo Chatbots com Python: Usando Natural Language Processing e Machine Learning (Portuguese Edition)
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- Construa seu próprio chatbot usando Python e ferramentas open source. Este livro começa com uma introdução aos chatbots na qual você obterá informações vitais sobre sua arquitetura. Em seguida, começará imediatamente a usar o Natural Language Processing (NLP) com a ajuda do Natural Language Toolkit (NLTK) para construir uma plataforma de processamento de linguagem personalizada para seu chatbot. Com essa base inicial, examinará diferentes técnicas de Natural Language Processing para selecionar a que lhe for mais adequada. O próximo estágio é aprender a construir um chatbot usando a plataforma API.ai e definir suas intenções e entidades. No decorrer desse exemplo, você aprenderá a ativar a comunicação com o bot e também examinará os importantes tópicos de sua integração e implantação. O último capítulo de Construindo Chatbots com Python ensinará como construir, treinar e implantar o próprio chatbot. Usando bibliotecas open source e técnicas de machine learning, você aprenderá a prever condições para seu bot e a desenvolver um agente de conversação como uma aplicação web. Para concluir, implantará seu chatbot em seu próprio servidor com a AWS. Neste livro, você: • Conhecerá os aspectos básicos do Natural Language Processing usando Python • Coletará dados e os converterá em dados de treinamento para o chatbot • Construirá seu chatbot a partir do zero como um web app • Integrará seus chatbots ao Facebook, Slack e Telegram • Implantará os chatbots em seu próprio servidor.
| Publisher | Novatec Editora |
| Publication date | October 16, 2019 |
| Edition | 1st |
| Language | Portuguese |
| File size | 5.1 MB |
| Screen Reader | Supported |
| Enhanced typesetting | Enabled |
| Word Wise | Not Enabled |
| Print length | 237 pages |
| ISBN-13 | 978-8575228104 |
| Page Flip | Enabled |
| Item Weight | 1 lbs (450 grams) |
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Construindo Chatbots com Python: Usando Natural Language Processing e Machine Learning (Portuguese Edition)
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DJF 3573
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